Pavel Izmailov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
5
Active years
2018–2024
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision. | Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Leike, Ilya Sutskever, Jeffrey Wu |
| 2023 | CVPR | FlexiViT: One Model for All Patch Sizes. | Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov, Mathilde Caron, Simon Kornblith, Xiaohua Zhai, Matthias Minderer, Michael Tschannen, Ibrahim Alabdulmohsin, Filip Pavetic |
| 2023 | ICLR | Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations. | Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson |
| 2023 | ICML | Simple and Fast Group Robustness by Automatic Feature Reweighting. | Shikai Qiu, Andres Potapczynski, Pavel Izmailov, Andrew Gordon Wilson |
| 2022 | ICML | Bayesian Model Selection, the Marginal Likelihood, and Generalization. | Sanae Lotfi, Pavel Izmailov, Gregory W. Benton, Micah Goldblum, Andrew Gordon Wilson |
| 2021 | ICML | What Are Bayesian Neural Network Posteriors Really Like? | Pavel Izmailov, Sharad Vikram, Matthew D. Hoffman, Andrew Gordon Wilson |
| 2020 | ICML | Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data. | Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Gordon Wilson |
| 2020 | ICML | Semi-Supervised Learning with Normalizing Flows. | Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson |
| 2019 | ICLR | There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average. | Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson |
| 2019 | UAI | Subspace Inference for Bayesian Deep Learning. | Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson |
| 2018 | AISTATS | Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition. | Pavel Izmailov, Alexander Novikov, Dmitry Kropotov |
| 2018 | UAI | Averaging Weights Leads to Wider Optima and Better Generalization. | Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson |